<a id="camel.configs.openai_config"></a>

<a id="camel.configs.openai_config.ChatGPTConfig"></a>

## ChatGPTConfig

```python
class ChatGPTConfig(BaseConfig):
```

Defines the parameters for generating chat completions using the
OpenAI API.

**Parameters:**

- **temperature** (float, optional): Sampling temperature to use, between :obj:`0` and :obj:`2`. Higher values make the output more random, while lower values make it more focused and deterministic. (default: :obj:`None`)
- **top_p** (float, optional): An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So :obj:`0.1` means only the tokens comprising the top 10% probability mass are considered. (default: :obj:`None`)
- **n** (int, optional): How many chat completion choices to generate for each input message. (default: :obj:`None`)
- **response_format** (object, optional): An object specifying the format that the model must output. Compatible with GPT-4 Turbo and all GPT-3.5 Turbo models newer than gpt-3.5-turbo-1106. Setting to `{"type": "json_object"}` enables JSON mode, which guarantees the message the model generates is valid JSON. Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length.
- **stream** (bool, optional): If True, partial message deltas will be sent as data-only server-sent events as they become available. (default: :obj:`None`)
- **stop** (str or list, optional): Up to :obj:`4` sequences where the API will stop generating further tokens. (default: :obj:`None`)
- **max_tokens** (int, optional): The maximum number of tokens to generate in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length. (default: :obj:`None`)
- **presence_penalty** (float, optional): Number between :obj:`-2.0` and :obj:`2.0`. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. See more information about frequency and presence penalties. (default: :obj:`None`)
- **frequency_penalty** (float, optional): Number between :obj:`-2.0` and :obj:`2.0`. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. See more information about frequency and presence penalties. (default: :obj:`None`)
- **logit_bias** (dict, optional): Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from :obj:`-100` to :obj:`100`. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between:obj:` -1`
- **and**: obj:`1` should decrease or increase likelihood of selection; values like :obj:`-100` or :obj:`100` should result in a ban or exclusive selection of the relevant token. (default: :obj:`None`)
- **user** (str, optional): A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. (default: :obj:`None`)
- **tools** (list[FunctionTool], optional): A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.
- **tool_choice** (Union[dict[str, str], str], optional): Controls which (if any) tool is called by the model. :obj:`"none"` means the model will not call any tool and instead generates a message. :obj:`"auto"` means the model can pick between generating a message or calling one or more tools. :obj:`"required"` means the model must call one or more tools. Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. :obj:`"none"` is the default when no tools are present. :obj:`"auto"` is the default if tools are present.
- **reasoning_effort** (str, optional): A parameter specifying the level of reasoning used by certain model types. Valid values are :obj: `"low"`, :obj:`"medium"`, or :obj:`"high"`. If set, it is only applied to the model types that support it (e.g., :obj:`o1`, :obj:`o1mini`, :obj:`o1preview`, :obj:`o3mini`). If not provided or if the model type does not support it, this parameter is ignored. (default: :obj:`None`)
- **parallel_tool_calls** (bool, optional): A parameter specifying whether the model should call tools in parallel or not. (default: :obj:`None`)
- **extra_headers**: Optional[Dict[str, str]]: Extra headers to use for the model. (default: :obj:`None`)
